AI Quality Assurance Engineer

About this role

Batch: 2020/2021/2022/2023/2024. Requirements: - 2+ years of experience in QA Automation, SDET, or ML Ops - Strong coding skills in Python (NumPy, Pandas, OpenCV) - must be comfortable writing scripts that interact with ML libraries - Deep understanding of RESTful APIs and experience testing them programmatically (Postman, Pytest, or similar) - Comfortable working in a Linux environment and spinning up Docker containers to replicate customer edge environments - Basic understanding of video codecs (H.264/H.265), RTSP streaming, or image processing concepts - Experience with Go (Golang) preferred - our backend language - Familiarity with ML frameworks like PyTorch, TensorFlow, or ONNX - Exposure to Cloud Platforms (AWS S3, Google Cloud Storage) and how to validate data persistence - Knowledge of CI/CD tools for ML (e.g., Jenkins, GitHub Actions, or Kubeflow)